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Making Dysarthric Speech Intelligible

eagle-i ID

http://ohsu.eagle-i.net/i/0000012c-3cb2-126c-cc1a-f59980000000

Resource Type

  1. Algorithmic software component

Properties

  1. Resource Description
    Software resulting from this project includes new algorithms that enable dysarthric individuals to be more easily understood. Currently available devices are essentially spectral filters and amplifiers that enhance certain parts of the spectrum. While these can help certain types of dysarthria, many dysarthric persons suffer from speech problems that require forms of speech modification that are much more profound and complex such as: irregular sub-glottal pressure, resulting in loudness bursts that can be difficult to adjust to; absence, or poor control, of voicing; systematic mispronunciation of certain phoneme groups, resulting in certain sounds becoming indistinguishable or unrecognizable; variable mispronunciation; and poor prosody (pitch control, timing, and loudness). For these difficult problems, new approaches are needed that do not merely filter the speech signal but analyze it at acoustic, articulatory, phonetic, and linguistic levels.
  2. Used by
    Center for Spoken Language Understanding
  3. Related Publication or Documentation
    Formant Re-synthesis of Dysarthric Speech
  4. Related Publication or Documentation
    Intelligibility of modifications to dysarthric speech
  5. Website(s)
    http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0117911
  6. Website(s)
    http://www.ohsu.edu/xd/education/schools/school-of-medicine/departments/basic-science-departments/biomedical-engineering/center-for-spoken-language-understanding/making-dysarthric-speech-intel.cfm?WT_rank=1
  7. Developed by
    Hosom, John-Paul, Ph.D.
  8. Developed by
    Kain, Alexander, Ph.D.
  9. Developed by
    van Santen, Jan P.H., Ph.D.
  10. Developed by
    Niu, Xiaochuan
  11. Developed by
    Miao, Qi
  12. Software license
    Open source software license
 
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Provenance Metadata About This Resource Record
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016